1,313 research outputs found

    Molecular Identification of Eimeria Species in Broiler Chickens in Trinidad, West Indies

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    Coccidiosis is an intestinal disease of chickens of major economic importance to broiler industries worldwide. Species of coccidia found in chickens include Eimeria acervulina, Eimeria brunetti, Eimeria maxima, Eimeria mitis, Eimeria necatrix, Eimeria praecox, and Eimeria tenella. In recent years, polymerase chain reaction (PCR) has been developed to provide accurate and rapid identification of the seven known Eimeria species of chickens. The aim of this study was to use species-specific real-time PCR (qPCR) to identify which of the seven Eimeria species are present in Trinidad poultry. Seventeen pooled fecal samples were collected from 6 broiler farms (2–5 pens per farm) across Trinidad. Feces were also collected from birds showing clinical signs of coccidiosis in two live bird markets (pluck shops). qPCR revealed the presence of five species of Eimeria (E. acervulina, E. maxima, E. mitis, E. necatrix, and E. tenella), but not E. brunetti or E. praecox. Mixed infections were detected on all broiler farms, and DNA of two highly pathogenic Eimeria species (E. tenella and E. necatrix) was detected in feces taken from clinically sick birds sampled from the two pluck shops

    Genome-wide identification of FoxO-dependent gene networks in skeletal muscle during C26 cancer cachexia

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    BACKGROUND: Evidence from cachectic cancer patients and animal models of cancer cachexia supports the involvement of Forkhead box O (FoxO) transcription factors in driving cancer-induced skeletal muscle wasting. However, the genome-wide gene networks and associated biological processes regulated by FoxO during cancer cachexia are unknown. We hypothesize that FoxO is a central upstream regulator of diverse gene networks in skeletal muscle during cancer that may act coordinately to promote the wasting phenotype. METHODS: To inhibit endogenous FoxO DNA-binding, we transduced limb and diaphragm muscles of mice with AAV9 containing the cDNA for a dominant negative (d.n.) FoxO protein (or GFP control). The d.n.FoxO construct consists of only the FoxO3a DNA-binding domain that is highly homologous to that of FoxO1 and FoxO4, and which outcompetes and blocks endogenous FoxO DNA binding. Mice were subsequently inoculated with Colon-26 (C26) cells and muscles harvested 26 days later. RESULTS: Blocking FoxO prevented C26-induced muscle fiber atrophy of both locomotor muscles and the diaphragm and significantly spared force deficits. This sparing of muscle size and function was associated with the differential regulation of 543 transcripts (out of 2,093) which changed in response to C26. Bioinformatics analysis of upregulated gene transcripts that required FoxO revealed enrichment of the proteasome, AP-1 and IL-6 pathways, and included several atrophy-related transcription factors, including Stat3, Fos, and Cebpb. FoxO was also necessary for the cancer-induced downregulation of several gene transcripts that were enriched for extracellular matrix and sarcomere protein-encoding genes. We validated these findings in limb muscles and the diaphragm through qRT-PCR, and further demonstrate that FoxO1 and/or FoxO3a are sufficient to increase Stat3, Fos, Cebpb, and the C/EBPβ target gene, Ubr2. Analysis of the Cebpb proximal promoter revealed two bona fide FoxO binding elements, which we further establish are necessary for Cebpb promoter activation in response to IL-6, a predominant cytokine in the C26 cancer model. CONCLUSIONS: These findings provide new evidence that FoxO-dependent transcription is a central node controlling diverse gene networks in skeletal muscle during cancer cachexia, and identifies novel candidate genes and networks for further investigation as causative factors in cancer-induced wasting.R01 AR060217 - NIAMS NIH HHS; R01 AR060209 - NIAMS NIH HHS; T32 HD043730 - NICHD NIH HHS; R00 HL098453 - NHLBI NIH HHS; R00HL098453 - NHLBI NIH HHS; R01AR060209 - NIAMS NIH HHS; R01AR060217 - NIAMS NIH HH

    Acceptance and commitment therapy for public speaking anxiety: A self-help format

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    A non-concurrent multiple baseline design across eight participants was used to determine whether working through Hayes and Smith's (2005) book would help those with public speaking anxiety. Hayes and Smith (2005) is based on Acceptance and Commitment Therapy. It encourages people to accept internal experiences as opposed to avoiding and struggling with them. For the purposes of this study, the book was divided into nine components, which participants discussed with the researcher. They also completed measures daily, during baseline and over the intervention period, as well as a battery of tests pre-baseline, mid and post intervention. The multiple baseline data showed that self-reported willingness to approach public speaking situations increased while self-reported avoidance decreased over the intervention. The pre and post measures also showed avoidance of internal experiences decreased significantly after the intervention. These outcomes are in line with changes suggested to result from engaging in such a therapy. The pre and post results also showed that quality of life increased significantly from mid to post-intervention. However, engagement with values did not change. While this measure is expected to change after such an intervention, this result may have occurred because the ideas about values were introduced last in the book. The intervention also led to significant decreases in anxiety, significant changes in thoughts about public speaking and significant increases in anxiety control as shown by the test battery. These findings are positive but are not predicted by processes posited for this therapy. However, there was no control group so these pre vs post comparisons must be interpreted with caution. Despite this limitation, the results suggest that the book, together with therapist contact, can help those with public speaking anxiety

    Decision making in the port organization

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    Evaluating Methods for Optimizing Classification Success From Otolith Tracers for Spotted Seatrout (\u3ci\u3eCynoscion nebulosus\u3c/i\u3e) in the Chesapeake Bay

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    Identifying the natal sources of fish is an important step in understanding its population dynamics. Adult recruits are often sourced from multiple nursery areas, with good quality locations contributing disproportionately more fish to the adult stock. Because population persistence is strongly influenced by nursery habitat, methods that correctly identify the source of recruits are necessary for effective management. Within the last decade, otolith chemistry signatures have been increasingly used as a natural marker to delineate fish from a mixture of nursery sources. Despite the widespread use of otolith trace element and stable isotope ratios as habitat markers, the statistical approaches to handle these data have been slow to develop. Limited guidelines have been offered for constructing the discriminatory function in terms of the number of chemical variables used, the information conveyed by each variable, and the overall stability of important variables with time. Almost all studies argue that juvenile signatures must be collected anew each year at considerable expense. In this study, Rao\u27s test for additional information was used to identify the most useful discriminatory variables for identifying the nursery seagrass habitats for spotted seatrout (Cynoscion nebulosus) in Chesapeake Bay. Additionally, Akaike information criterion (AIC) and Bayes information criterion (BIC) were used to select the discriminant function analysis (DFA) model that minimized the prediction error for determining provenance of adult fish. The AIC technique was also used to construct a short-term multi-year habitat tag for the Bay. Variable selection using Rao\u27s test show that classification accuracy was heavily dependent on the type and number of variables used in the model. Barium was the most important variable and it was the most stable variable over time. From the AIC model selection, adult fish were correctly assigned to nursery area with over 94% accuracy within-year, while the AIC multi-year tag accurately identified the source of historical collections of adult fish with over 80% classification accuracy. These results show that by using correct statistical approaches to construct the discriminatory model, the probability of misclassification for subsequent survivors is minimized. Additionally multi-year models can be developed, directing research for other species
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